Pedestrian detection using RetinaNet with multi-branch structure and double pooling attention mechanism
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15862-4.pdf
Reference51 articles.
1. Brazil G, Liu X (2019) Pedestrian detection with autoregressive network phases. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 7231-7240
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3. Calero MJF, Aldás M, Lázaro J et al (2019) Pedestrian detection under partial occlusion by using logic inference, HOG and SVM. IEEE Latin Ame Transac 17(09):1552–1559
4. Cao J, Song C, Peng S et al (2020) Pedestrian detection algorithm for intelligent vehicles in complex scenarios. Sensors 20(13):3646
5. Dollar P, Wojek C, Schiele B et al (2011) Pedestrian detection: An evaluation of the state of the art. IEEE Trans Patt Analy Machine Int 34(4):743–761
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